考虑节能的铁路货物列车开行方案优化研究  

Energy-Saving Operation Optimization of Railway Freight Train

作　　者：宋瑞[1] 吴思瑶 赵子琪 何维 SONG Rui;WU Siyao;ZHAO Ziqi;HE Wei(Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室,北京100044

出　　处：《大连交通大学学报》2025年第1期1-8,107,共9页Journal of Dalian Jiaotong University

基　　金：国家自然科学基金项目(62076023);中国国家铁路集团有限公司科技研究开发计划项目(P2022X013)。

摘　　要：为了降低铁路运行能耗,通过仿真分析不同开行方案对运行能耗产生的影响,对车流进行合理有效的组织和优化,使得总能耗最小。据此,以车流组织时间消耗、铁路运输成本和铁路列车运行能耗最小为目标,建立优化模型,并针对模型特点,设计了基于优势基因结构的微进化算法(MEA),并进行求解。结果表明,所提出的考虑节能的铁路货物列车开行方案优化模型能够在有效降低列车运行能耗、减少车流组织时间消耗的同时降低总费用,具有更优的综合效益,所提算法相比于传统遗传算法(GA)也具有更好的求解质量和求解效率,研究结果能够为铁路绿色运营提供新思路。In order to reduce the energy consumption of railway operation,the impact of different operation plans on energy consumption is analyzed through simulation,and the traffic flow is organized and optimized reasonably and effectively to minimize the total energy consumption.An optimization model was established to minimize the time consumption of traffic organization,railway transportation costs,and railway train operation energy consumption.Based on the characteristics of the model,a microevolutionary algorithm(MEA)based on dominant gene structure was designed and solved.The research results indicate that the energy-saving operation plan optimization model can effectively reduce train energy consumption,minimize time spent on traffic organization and lower overall costs.It demonstrates superior comprehensive benefits.The proposed algorithm achieves better solution quality and efficiency than traditional genetic algorithms.The research findings provide new insights for promoting green operations in railway transportation.

关 键 词：铁路节能 运行能耗 开行方案 车流组织 微进化算法 

分 类 号：F53[经济管理—产业经济]